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A new method for fuzzy interpolative reasoning based on the slopes of fuzzy sets

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3 Author(s)
Shyi-Ming Chen ; Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan ; Wen-Chyuan Hsin ; Yu-Chuan Chang

In this paper, we present a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the slopes of fuzzy sets. We also make an experiment to deal with the computer activity prediction problem to compare the fuzzy interpolative reasoning results of the proposed method with the ones of the existing methods. The experimental results show that the proposed fuzzy interpolative reasoning method outperforms the existing methods to deal with the computer activity prediction problem.

Published in:

Machine Learning and Cybernetics (ICMLC), 2011 International Conference on  (Volume:1 )

Date of Conference:

10-13 July 2011